How to Use the FutureVault MCP in Google ADK

Q: Can Google ADK agents search FutureVault repositories?

Absolutely. The agent uses searchvaultcontent to find specific files. It then passes these results into the Gemini reasoning window.

Q: How do I list users in FutureVault with Google ADK?

Call listvaultmembers through the MCP toolset. This returns a list of all authorized individuals with access to a target vault.

Q: Does Google ADK support FutureVault identity checks?

Yes. The agent calls getmyidentity to verify its own profile. This confirms that the correct service account is being used for the task.

Q: How do I check folder metadata in Google ADK?

Use getfolderdetails with the folder ID. The server returns a structured JSON object containing all relevant folder properties.

Connect Google ADK agents to your FutureVault MCP Server for high-scale document reasoning across enterprise infrastructures.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect FutureVault MCP to Google ADK

Create your Vinkius account to connect FutureVault to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup FutureVault with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Deep vault traversal for Google ADK

Your agents can now crawl through vast document stores using the `list_digital_vaults` tool. This allows the system to build a comprehensive map of your data architecture in seconds. Once the scope is defined, the agent uses `list_vault_folders` to drill down into specific sub-directories. It keeps track of every path it visits to ensure nothing is missed during a batch process.

Metadata-driven intelligence

Google ADK agents rely on high-fidelity data to make decisions. The `get_document_metadata` tool delivers precise attributes for every file, allowing the model to classify documents without opening them. This keeps your latency low. By only pulling the metadata, your agent avoids the overhead of loading full binary files until strictly necessary.

Verification and connectivity

Before starting a long-running job, the agent executes `verify_api_connection`. This is the first step in ensuring your Google Cloud environment stays synced with your document storage. If the connection drops, the agent knows immediately. It uses this tool to confirm that authentication tokens remain active throughout the entire session.

Setup guide

Set up FutureVault MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with FutureVault tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="FutureVault_agent",
    model="gemini-2.0-flash",
    instruction="You have access to FutureVault tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by FutureVault. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect FutureVault now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about FutureVault MCP in Google ADK

Absolutely. The agent uses `search_vault_content` to find specific files. It then passes these results into the Gemini reasoning window.

Call `list_vault_members` through the MCP toolset. This returns a list of all authorized individuals with access to a target vault.

Yes. The agent calls `get_my_identity` to verify its own profile. This confirms that the correct service account is being used for the task.

Use `get_folder_details` with the folder ID. The server returns a structured JSON object containing all relevant folder properties.

FutureVault encrypts all metadata at rest. When your agent calls `get_document_metadata`, it receives only the specific fields requested, ensuring no PII is leaked unnecessarily.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript